RRepoGEO

REPOGEO REPORT · LITE

imoneoi/openchat

Default branch master · commit 47a35961 · scanned 6/24/2026, 6:01:33 PM

GitHub: 5,481 stars · 431 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

3 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

AI VISIBILITY SCORE
40 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 warn · 0 fail
Objective metadata checks
AI knows your name
3 / 3
Direct prompts that named your repo
HOW TO READ THIS REPORT

Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface imoneoi/openchat, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.

Action plan — copy-paste fixes

3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • hightopics#1
    Add specific topics for fine-tuning and consumer GPU compatibility

    Why:

    CURRENT
    large-language-models, open-source, transformers
    COPY-PASTE FIX
    large-language-models, open-source, transformers, llm-finetuning, mixed-data-training, consumer-gpu-llm, efficient-llm
  • highreadme#2
    Add a concise introductory paragraph to the README

    Why:

    COPY-PASTE FIX
    OpenChat provides high-performing, open-source language models, fine-tuned with an innovative C-RLFTa strategy using mixed-quality data. Our 7B models deliver exceptional performance, comparable to ChatGPT, and are designed to run efficiently on consumer GPUs like the RTX 3090.
  • mediumabout#3
    Update the repository description to highlight key differentiators

    Why:

    CURRENT
    OpenChat: Advancing Open-source Language Models with Imperfect Data
    COPY-PASTE FIX
    OpenChat: High-performing open-source language models, fine-tuned with mixed-quality data, designed for efficiency and runnable on consumer GPUs.

Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

Category visibility — the real GEO test

Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?

Same questions for every model — switch tabs to compare answers and rankings.

Recall
0 / 2
0% of queries surface imoneoi/openchat
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Llama 3
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Llama 3 · recommended 2×
  2. Gemma · recommended 2×
  3. Mistral 7B Instruct v0.2 · recommended 1×
  4. Mixtral 8x7B Instruct v0.1 · recommended 1×
  5. Qwen 1.5 · recommended 1×
  • CATEGORY QUERY
    What are some high-performing open-source large language models runnable on consumer GPUs?
    you: not recommended
    AI recommended (in order):
    1. Llama 3
    2. Mistral 7B Instruct v0.2
    3. Mixtral 8x7B Instruct v0.1
    4. Qwen 1.5
    5. Gemma
    6. Zephyr 7B Beta
    7. llama.cpp
    8. transformers

    AI recommended 8 alternatives but never named imoneoi/openchat. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking open-source LLMs that can be effectively fine-tuned using mixed-quality training data.
    you: not recommended
    AI recommended (in order):
    1. Llama 3
    2. Mistral 7B
    3. Mixtral 8x7B
    4. Gemma
    5. Falcon
    6. MPT-7B
    7. MPT-30B

    AI recommended 7 alternatives but never named imoneoi/openchat. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    pass

  • README presence
    pass

Self-mention check

Does AI even know your repo exists when asked about it directly?

  • Compared to common alternatives in this category, what is the core differentiator of imoneoi/openchat?
    pass
    AI named imoneoi/openchat explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • If a team adopts imoneoi/openchat in production, what risks or prerequisites should they evaluate first?
    pass
    AI named imoneoi/openchat explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • In one sentence, what problem does the repo imoneoi/openchat solve, and who is the primary audience?
    pass
    AI named imoneoi/openchat explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

Embed your GEO score

Drop this badge into the README of imoneoi/openchat. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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MARKDOWN (README)
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imoneoi/openchat — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite